Energy-efficient genetic algorithm variants of PEGASIS for 3D Wireless Sensor Networks

Due to its boundless potential applications, Wireless Sensor Networks have been subject to much research in the last two decades. WSNs are often deployed in remote environments making replacement of batteries not feasible. Low energy consumption being of prime requisite led to the development of ene...

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Veröffentlicht in:Applied computing & informatics Jg. 19; H. 3/4; S. 186 - 208
Hauptverfasser: Somauroo, Aaqil, Bassoo, Vandana
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bingley Elsevier B.V 09.06.2023
Emerald Group Publishing Limited
Emerald Publishing
Schlagworte:
Clustering
Energy consumption
Energy efficiency
Genetic algorithms
Greedy algorithms
Microelectromechanical systems
Nodes
Protocol
Radio equipment
Remote sensors
Residual energy
Routing (telecommunications)
Sensors
Wireless sensor networks
ISSN:2210-8327, 2634-1964, 2210-8327
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Zusammenfassung:Due to its boundless potential applications, Wireless Sensor Networks have been subject to much research in the last two decades. WSNs are often deployed in remote environments making replacement of batteries not feasible. Low energy consumption being of prime requisite led to the development of energy-efficient routing protocols. The proposed routing algorithms seek to prolong the lifetime of sensor nodes in the relatively unexplored area of 3D WSNs. The schemes use chain-based routing technique PEGASIS as basis and employ genetic algorithm to build the chain instead of the greedy algorithm. Proposed schemes will incorporate an energy and distance aware CH selection technique to improve load balancing. Clustering of the network is also implemented to reduce number of nodes in a chain and hence reduce delay. Simulation of our proposed protocols is carried out for homogeneous networks considering separately cases for a static base-station inside and outside the network. Results indicate considerable improvement in lifetime over PEGASIS of 817% and 420% for base station inside and outside the network respectively. Residual energy and delay performance are also considered.
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ISSN:2210-8327
2634-1964
2210-8327
DOI:10.1016/j.aci.2019.07.002